Europe’s Energy Shift: From Fossil Fuels to Renewable Energy

Energy Consumption Renewable Energy Fossil Fuels Energy Transition Energy Independence Nuclear Energy Energy Security

Authors

  • Szonja Jenei Assistant Professor, Kautz Gyula Faculty of Economics, Széchenyi István University, Győr 9026, Hungary https://orcid.org/0000-0002-6865-1219
  • Szilvia Módosné Szalai Assistant Professor, Kautz Gyula Faculty of Economics, Széchenyi István University, Győr 9026, Hungary https://orcid.org/0009-0005-2164-9014
  • Dhruv Pratap Singh NEOMA Business School, 1 Rue du Maréchal Juin, Mont-Saint-Aignan, 76130, France https://orcid.org/0000-0002-0055-0497
  • Kobla Sewornu Afadzinu 3) Doctoral School in Economics, University of Szeged, Szeged, Hungary. 4) Regent University College of Science and Technology, DS1633, Dansoman, Accra, Ghana https://orcid.org/0009-0005-5496-896X
  • Nina Poyda-Nosyk Full Professor, Department of Accounting and Auditing, Ferenc Rakoczi II Transcarpathian Hungarian College of Higher Education, Berehove UA-90201, Transcarpathia, Ukraine https://orcid.org/0000-0002-5378-8028
  • Botond Géza Kálmán 6) Assistant Professor of the Department of Finance and Accounting (DFA) in the Faculty of Economics of John von Neumann University (NJE GTK), Kecskemét 6000, Hungary. 7) Visiting Researcher of the Sustainability Competence Centre in the Kautz Gyula Faculty of Business and Economics of Széchenyi István University (SZE GTK), address (Management Campus): 1 Egyetem tér, Győr 9026, Hungary. 8) Visiting Researcher of the Department of Accounting and Auditing in the Ferenc Rakoczi II Transcarpathian Hungarian College of Higher Education // Zakarpats'kij ugors'kij institut imeni Ferenca Rakoci II (KMF), Berehove UA-90201, Transcarpathia, Hungary https://orcid.org/0000-0001-8031-8016
  • Lóránt Dénes Dávid
    david.lorant.denes@sek.elte.hu
    9) Department of Tourism and Hospitality, Faculty of Economics and Business, John von Neumann University, Kecskemét 6000, Hungary. 10) Department of Tourism and Hospitality, Institute of Rural Development and Sustainable Economy, Hungarian University of Agriculture and Life Sciences (MATE), Gödöllő 2100, Hungary. 11) Savaria Department of Business Economics, Savaria University Centre, Faculty of Social Sciences, Eötvös Loránd University, Szombathely 9700, Hungary. 12) Department of Tourism and Hospitality, Kautz Gyula Faculty of Business and Economics, Széchenyi István University, Győr 9026, Hungary https://orcid.org/0000-0001-7880-9860

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Objectives:This study explores the transformation of energy consumption in Europe between 2002 and 2022, focusing on the declining role of fossil fuels and the increasing significance of renewable and nuclear energy sources. The study also considers how countries with varying levels of economic development adopt different energy strategies and how these strategies correlate with shifts in energy usage. A circular economy approach that includes energy recovery from waste and resource reuse is a complementary aspect of sustainable energy transitions. Methods/Analysis: The per capita energy consumption data were analyzed through decile classification and cluster analysis to group countries with similar energy profiles. To explore the relationship between GDP and energy use—both total and renewable—linear and exponential regression models were applied. Outlier countries with atypical consumption trends were excluded to improve model reliability. Statistical analyses were conducted using SPSS, and Excel was used to support the visualization process. Findings: Six distinct clusters of energy consumption patterns emerged. In lower- and middle-GDP countries, renewable energy use showed a stronger exponential correlation with GDP growth than total energy use. While fossil fuel dependence has declined across most countries, the pathways taken have been diverse. High-GDP nations such as Iceland and Norway have demonstrated unique, resource-driven strategies. Novelty/Improvement: This study introduces a novel methodological blend of decile-based classification and clustering to enable clearer cross-country comparisons of energy use. The results also highlight the importance of excluding statistical outliers to improve regression precision. By integrating insights relevant to circular economy principles, the findings contribute to designing more effective and regionally adapted energy transition strategies.